ARSENAL ZALA has implemented a complex of advanced intelligent systems. These include software modules that enable autonomous operation in solving tasks of searching, identifying, classifying, segmenting, vectorizing and tracking objects in video images and thermal data, as well as aiming and tracking of barraged munitions. The platform calculates and displays on the screen the speed, dimensions, direction of movement and distance to moving objects in real time. Additionally, alternative navigation systems are integrated, allowing the UAV to determine its location without using satellite systems—both during the day and at night.

The platform has become an integral part of the digital ecosystem ZALA and represents a fundamental foundation for future solutions. Innovative technologies are already in demand to solve a wide range of tasks: from infrastructure monitoring, road traffic control, and search and rescue operations to special tasks.

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Сообщение ZALA представила новую бортовую платформу «АРСЕНАЛ»: интеллектуальный центр БПЛА появились сначала на ZALA — Беспилотные системы (БПЛА), беспилотные воздушные суда (БВС).

The new systems are ZALA capable of significantly facilitating the performance of service and combat tasks by the Russian Guard units thanks to constantly improving artificial intelligence algorithms. The presented software enhances the efficiency of operators and the accuracy of data processing received from the UAVs.

The participation of operator instructors ZALA in the training sessions has made it possible to practically demonstrate the capabilities of the updated solutions and to train personnel in using the new algorithms. It is expected that the delivery of the systems at the end of the year will provide the units of the Russian Guard with modern tools for performing service and combat tasks.

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Сообщение ZALA приняла участие в учебно-методических сборах с разведчиками Росгвардии на Северном Кавказе появились сначала на ZALA — Беспилотные системы (БПЛА), беспилотные воздушные суда (БВС).

Special interest was aroused by the experience of participating in the Russian Antarctic expedition: in 2026 ZALA The T-16 conducted aerial photography of the penguin colony on Kamenny Island near the «Mirosnyy» station», The plane was operating at an altitude of several hundred meters, without disturbing the birds, and created a detailed orthophoto plan.

«We present the BAS systems — unmanned aerial systems that are primarily designed for monitoring. We have two aircraft here: the T-16 and the T-20. One has a medium range, the other a long-range one. Our systems participated in an expedition this year. Yes, they helped scientists conduct an aerial survey and count the population of penguins there, where humans are not allowed to go,» said a representative ZALA.

Technologies ZALA in practice prove their effectiveness when conducting monitoring anywhere on the planet—from industrial sites in the Volga region to high latitudes in Antarctica.

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Сообщение От Волги до Антарктиды: ZALA подвела итоги «ПРОМ-ЭНЕРГО-ВОЛГА'2026» появились сначала на ZALA — Беспилотные системы (БПЛА), беспилотные воздушные суда (БВС).

During the OPY, specialists tested several scenarios: scheduled monitoring along pre-defined routes, operational aerial surveys of areas under jamming conditions, and filming in difficult weather conditions in northern regions. Particular attention was paid to the accuracy of data geolocation, the quality of photo and video materials, as well as the stability of communication and navigation in conditions of electronic countermeasures. Multispectral cameras, thermal imagers, and high-quality cameras with neural network processing were used to collect and verify data, allowing for the immediate detection of critical types of violations in operational mode.

The conducted tests showed that the use of unmanned systems significantly improves the efficiency and objectivity of control. The readiness of new technologies for implementation in regular production processes was confirmed. An important milestone was the integration of the collected data into a unified information system of the customer, ensuring seamless information exchange and support for management decisions at all levels.

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Сообщение Новые комплексы ZALA с искусственным интеллектом успешно прошли испытания в северных регионах появились сначала на ZALA — Беспилотные системы (БПЛА), беспилотные воздушные суда (БВС).

The UAVs ZALA provide long-term aerial surveillance and high-quality video transmission. Built-in artificial intelligence algorithms help automatically locate and identify objects. Interference-resistant communication and alternative navigation support the stable operation of the systems in challenging conditions, including when satellite signals are limited.

A separate area of research is the technology of intelligent data processing. IRRA hardware and software complex It analyzes the video stream, identifies significant changes, and generates monitoring results directly during flight. This allows for the prompt assessment of the condition of long-distance energy transmission and substation facilities, and reduces the time required to prepare final reports.

It also ZALA features specialized modules: «Lepestok-F» with its own computer and visual navigation for operation without satellite signals, as well as «Lepestok-M» with neural network analysis in two ranges simultaneously. Centralized data processing is carried out through 4Z1 digital ecosystem.

Thus, the solutions ZALA combine the capabilities of unmanned aerial surveillance and intelligent analytics, helping to improve the efficiency of surveying and monitoring industrial infrastructure.

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Сообщение ZALA представила на «ПРОМ-ЭНЕРГО-ВОЛГА'2026» систему комплексного мониторинга инфраструктуры появились сначала на ZALA — Беспилотные системы (БПЛА), беспилотные воздушные суда (БВС).

Multispectral technology allows detecting the presence of oil-containing liquid in soil and plants in conditions where visual inspection cannot determine its presence. The method is based on analyzing surface reflection in different spectral ranges and detects chemical abnormalities. ZALA The technology has been adapted for unmanned aerial systems of aircraft type: thanks to mathematical calculations, the illumination range is expanded, which allows operating in northern regions with low sun elevation above the horizon, as well as at high flight speed. A comprehensive methodology has been developed: photographs obtained as a result of aerial photography are compared with the results of multi-spectral scanning, which allows finding anomalies above underground pipelines, determining the nature and degree of contamination, and distinguishing oil spills from natural processes.

Unlike satellite monitoring, the systems ZALA provide detailed surveys directly over the object, and the data are processed in a local data center located in Russia, not transferred to third-party cloud servers. Successful tests confirmed the practical applicability of the technology for monitoring oil and gas infrastructure, detecting critical disruptions related to the release of products and chemicals in complex climatic and operational conditions.

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Сообщение ZALA подтвердила эффективность мультиспектральной съемки для нефтегазовой инфраструктуры в северных широтах появились сначала на ZALA — Беспилотные системы (БПЛА), беспилотные воздушные суда (БВС).

Today, ZALA employs its own standard for aerial monitoring of industrial sites using artificial intelligence. The process takes no more than 12 hours from start to finish. Moreover, the client receives the initial results of the aerial monitoring whilst the flight is still in progress. The company’s systems process data in real time, identify changes across extensive sites and generate analytics immediately.

At the heart of the solution are ZALA unmanned aerial vehicles, IRRA on-board hardware-software complex and specialised software with artificial intelligence algorithms. The system itself processes large volumes of data, finding and classifying objects of significance to the client.

Among the specialised solutions are modules «Lepestok-F» и «Lepestok-M». The first is equipped with its own processor and visual navigation, allowing it to operate without satellite signals. The second uses neural networks to analyse visual information in two spectral bands simultaneously. Centralised data processing is carried out via the 4Z1 digital platform, which provides access to live feeds from the onboard cameras and a media archive.

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Сообщение ZALA на TNF-2026: искусственный интеллект меняет подход к мониторингу объектов ТЭК появились сначала на ZALA — Беспилотные системы (БПЛА), беспилотные воздушные суда (БВС).

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Сообщение БТР Stryker ВСУ уничтожен расчетом РУК ZALA «Ланцет» появились сначала на ZALA — Беспилотные системы (БПЛА), беспилотные воздушные суда (БВС).

All ZALA unmanned platforms are grouped together in the unified 4Z1 ecosystem, where operators are assisted by programmes with embedded AI algorithms. This makes it possible to tackle tasks comprehensively in the air, on the ground and on the water. The exhibition generated keen interest not only among specialists from services and departments, but also among cadets and students of specialist educational institutions.

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Сообщение ZALA на «ЦИФРОПОЛ-2026»: мультисредные роботизированные решения и искусственный интеллект появились сначала на ZALA — Беспилотные системы (БПЛА), беспилотные воздушные суда (БВС).

The operator receives data at a separate ground station in the form of a tape with cards of found objects, their coordinates and descriptions. All selected objects of interest appear on the map as markers. A report with detailed parameters can be generated for each of them.

All calculations are performed on board during the flight. The accumulated high-resolution materials are saved for subsequent stitching of detailed orthophotomaps. At the same time, the ground detection accuracy reaches 0.038 m/pixel. The modular design is easily integrated with standard T-16 and T-20 models, expanding their functionality without altering the platform.

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Сообщение ZALA «Лепесток-Ф»: интеллектуальный модуль детекции объектов с автономной видеонавигацией появились сначала на ZALA — Беспилотные системы (БПЛА), беспилотные воздушные суда (БВС).